Enhanced effect of vascular endothelial growth factor, thrombopoietin peptide agonist, SCF, and Flt3‐L on LTC‐IC and reporter gene transduction from umbilical cord blood CD34+ cells
Bibliographic record
Abstract
BACKGROUND: Hemangioblastic precursors have been identified that give rise to both endothelial cells and HPCs, suggesting that common growth factor requirements may exist. STUDY DESIGN AND METHODS: The effect of vascular endothelial growth factor (VEGF) in combination with thrombopoietin peptide agonist (TPOA), Flt-3 L (F), and SCF (S) on long-term culture-initiating cell (LTC-IC), CFU, differentiation, and transduction of cord blood (CB) CD34+ were evaluated up to 4 weeks in culture. RESULTS: At Week 4, in cultures containing T/F/S and VEGF, the LTC-IC increased 1000-fold (from 37 +/- 8 to 37,012 +/- 14,329) with a frequency of 3.4 in 10,000 cells. In the T/F/S cultures without VEGF, the LTC-IC increased 675-fold (to 25,086 +/- 12,102) with a frequency of one LTC-IC in 10,000 cells. The addition of VEGF significantly increased (p < 0.05) the LTC-IC per 10,000 CB CD34+ cells. Transduction with reporter gene enhanced green fluorescent protein (EGFP), resulted in an increase in EGFP+ CFU at Week 1 and EGFP + LTC-IC at Weeks 1 and 4. The cells maintained their multilineage expression when cultured in conditions for erythroid, myeloid, or megakaryocytic differentiation. Peak percentage EGFP coexpression of GlyA and CD11b was 51 +/- 6 percent and 63 +/- 15 percent, respectively, at Week 2, while CD41a was 34 +/- 17 percent at Week 4. CONCLUSION: T/F/S and VEGF have an enhanced effect on total LTC-IC output and frequency but do not appear to significantly alter the differentiation or transducibility characteristics of CB HPCs in vitro.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".